Hany Ouf

 Azure Big Data & Analytics Services offer a comprehensive suite of tools and platforms to address the challenges of managing, analyzing, and transforming large-scale datasets in the cloud. The image covers three major services under this domain: Azure Synapse Analytics, Azure HDInsight, and Azure Databricks. Each service provides distinct capabilities tailored for various enterprise data scenarios. Azure Synapse Analytics serves as a modern, integrated workspace designed for end-to-end enterprise data warehousing and analytics. It unifies big data and data warehousing into a single service, enabling organizations to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. Synapse integrates popular tools such as Azure Data Factory, Apache Spark, and SQL, making it easier for data engineers and analysts to collaborate and streamline workflows. Azure HDInsight is a fully managed, open-source analytics service built on the Apache H...

Let’s sketch something solid without pretending to predict every edge case in the universe. You want a block of code that: Accepts an idempotency key. Prevents double-charging. Handles timeout/retry. Deals with “processing-in-progress.” Returns the same final response for repeated calls. Survives partial failures. A practical pattern for payment APIs → idempotency store + status machine. Below is a compact, production-friendly example in C# (ASP.NET Core) using Redis, covering the usual payment flow. --- ✅ Complete pattern: Idempotent Payment Endpoint Idempotency record model public class IdempotencyRecord {     public string Key { get; set; }     public string Status { get; set; } // Pending, Completed, Failed     public int HttpStatus { get; set; }     public string ResponseJson { get; set; }     public DateTime UpdatedAt { get; set; } } --- ✅ Payment endpoint with full scenario handling [HttpPost("pay")] public async Task<IActionRe...